Master of Artificial Intelligence and Machine Learning (CRICOS course code 115898H) is a Masters Degree (Coursework) delivered by Adelaide University over 2 years. This program equips students with advanced knowledge in artificial intelligence, machine learning, and data science, preparing them for careers in a rapidly growing field. As a CRICOS-registered course (provider 04249J), it meets Australian standards for international education, ensuring quality and legal protections under the ESOS Act. HeadStart Academy provides this detailed guide to help you evaluate this course against your goals. With over 1,556 CRICOS-registered providers offering 26,433 courses across Australia, choosing the right program is critical. This page uses official data from the CRICOS register (April 2026) to give you accurate, transparent information—no referral fees, just trustworthy guidance.
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This master's degree falls under the field of Information Technology (02), specifically Computer Science (0201) and Artificial Intelligence (020119). Students explore core topics such as machine learning algorithms, deep learning, natural language processing, computer vision, and reinforcement learning. The curriculum balances theoretical foundations with practical applications, often involving real-world datasets and projects. Graduates typically develop skills in designing intelligent systems, analysing complex data, and implementing AI solutions across industries like healthcare, finance, robotics, and autonomous systems. As an AQF Level 9 qualification, it prepares you for senior technical roles or further research. Adelaide University's program integrates current industry trends, ensuring relevance to the evolving AI landscape.
The Master of Artificial Intelligence and Machine Learning is a full-time program lasting 2 years (104 weeks as per CRICOS registration). All instruction is delivered in English, and the course is a single qualification (no dual award). Students typically attend on-campus classes, but some components may be offered online or in blended formats—check with Adelaide University for current delivery modes. The standard full-time load is 8 subjects per year (48 credit points). Part-time study is generally not available for international student visa holders, as the Subclass 500 visa requires full-time enrolment. This duration allows for a comprehensive exploration of AI disciplines, including a significant work-integrated learning component.
Indicative tuition fees for the full program are A$109,800, with no compulsory non-tuition fees listed on the CRICOS register, bringing the estimated total to A$109,800. These fees are set by Adelaide University and subject to annual review. Note that Overseas Student Health Cover (OSHC), living expenses (e.g., rent, groceries, transport), and the student visa application charge are not included. For current fees and payment options, always visit Adelaide University's official website. Considering living costs in Adelaide, students should budget approximately A$400–A$600 per week for accommodation, food, and transport (indicative). HeadStart Academy recommends comparing costs across institutions before committing.
General entry expectations for this master's degree include a recognised bachelor's degree (or equivalent) in a relevant field such as computer science, engineering, mathematics, or statistics. English language proficiency is required, typically IELTS overall score of 6.5–7.0 with no band below 6.0 (or equivalent test). Some applicants may need to demonstrate prior coursework in programming, linear algebra, or calculus. Adelaide University may offer foundation or pathway programs for those who do not meet direct entry requirements—consult the provider for specific options. International students must also satisfy the Genuine Temporary Entrant (GTE) criterion and provide evidence of financial capacity. Remember, entry requirements are set by the institution and may change.
This course includes a mandatory work component of 8 weeks, estimated at around 300 total hours (hours per week not specified on CRICOS). This work-integrated learning (WIL) typically takes the form of an industry placement, internship, or project-based work with an external organisation. It allows students to apply AI and machine learning skills in a real-world setting, build professional networks, and enhance employability. Placements may be sourced by the university or self-organised with approval. International students on a Subclass 500 visa can undertake this component under standard work rights: up to 48 hours per fortnight during term and unlimited hours during scheduled breaks. Always confirm placement logistics with Adelaide University.
The Master of Artificial Intelligence and Machine Learning is delivered at two campuses: Adelaide University's Adelaide City Campus in the Adelaide CBD, and its Mawson Lakes Campus in the northern suburb of Mawson Lakes. Adelaide, the capital of South Australia, is a vibrant, affordable student city with a population of over 1.3 million. It hosts several CRICOS-registered institutions, including the University of Adelaide, Flinders University, and the University of South Australia. Public transport (buses, trains, trams) connects both campuses to the city and suburbs. Living costs in Adelaide are lower than in Sydney or Melbourne, with indicative weekly rent for a shared apartment around A$150–A$250. The city's strong tech industry presence makes it an attractive location for AI studies.
International students intending to enrol in this CRICOS-registered course must apply for a Student visa (Subclass 500). Key requirements include: a valid Confirmation of Enrolment (CoE) from Adelaide University, evidence of English proficiency, genuine temporary entrant (GTE) statement, sufficient funds for tuition and living costs (minimum A$29,710 per year for living expenses), and Overseas Student Health Cover (OSHC) for the duration of the visa. Student visa holders can work up to 48 hours per fortnight while the course is in session and unlimited hours during scheduled breaks. The ESOS Act protects your rights, including tuition fee protection if the provider ceases operations. Always refer to the Department of Home Affairs or consult a registered MARA agent for personalised advice.
Applying for the Master of Artificial Intelligence and Machine Learning at Adelaide University is straightforward. Follow these three steps: 1. Research CRICOS-registered providers – Use HeadStart Academy's directory to compare courses by level, field, and city. Adelaide University is CRICOS 04249J. 2. Apply directly to your chosen institution – Check entry requirements, submit academic transcripts, English test scores (e.g., IELTS), and any required documents. Note application deadlines – typically two to three months before semester start. 3. Receive your Confirmation of Enrolment (CoE) and apply for your Student visa (Subclass 500). Once accepted, Adelaide University will issue a CoE, which you need for your visa application. Submit your visa online via immi.homeaffairs.gov.au with supporting documents. Start early to allow processing time.
South Australia is home to over 30,000 international students enrolled in CRICOS-registered courses across its three public universities and several private colleges. Adelaide, the state capital, consistently ranks as one of Australia's most affordable cities, with lower living costs than Sydney or Melbourne. The city boasts a thriving innovation precinct, particularly in AI and technology, with government initiatives supporting startup ecosystems. Public transport is reliable, and the city is known for its festivals, food, and wine regions. Studying AI here offers access to industry partners like Microsoft, Google, and local health tech firms. Before choosing South Australia, consider your preference for city size, climate, and career opportunities – it's a quieter, more relaxed environment compared to the east coast hotspots.
Ready to enrol? Check the latest entry requirements and fees on Adelaide University's official course page, or explore other AI programs in South Australia using HeadStart Academy's course search.
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Master of Artificial Intelligence and Machine Learning is a CRICOS-registered programme at Adelaide University. Use this register extract [CRICOS register, Apr 2026] to cross-check codes, duration and indicative fees before you apply.
This page is general information only and not migration advice. Confirm Student visa (Subclass 500) requirements with the Department of Home Affairs.